Examples with BinaryOp org.apache.sysml.hops.BinaryOp used on opensource projects

Example 31 with BinaryOp

use of org.apache.sysml.hops.BinaryOp in project incubator-systemml by apache.

the class RewriteElementwiseMultChainOptimization method checkForeignParent.

/**
 * Check if a node has a parent that is not in the set of emults. Recursively check children who are also emults.
 * @param emults The set of BinaryOp element-wise multiply hops in the emult chain.
 * @param child An interior emult hop in the emult chain dag.
 * @return Whether this interior emult or any child emult has a foreign parent.
 */
private static boolean checkForeignParent(final Set<BinaryOp> emults, final BinaryOp child) {
    final ArrayList<Hop> parents = child.getParent();
    if (parents.size() > 1)
        for (final Hop parent : parents) if (!(parent instanceof BinaryOp) || !emults.contains(parent))
            return false;
    // child does not have foreign parents
    final ArrayList<Hop> inputs = child.getInput();
    final Hop left = inputs.get(0), right = inputs.get(1);
    return (!isBinaryMult(left) || checkForeignParent(emults, (BinaryOp) left)) && (!isBinaryMult(right) || checkForeignParent(emults, (BinaryOp) right));
}

Example 32 with BinaryOp

use of org.apache.sysml.hops.BinaryOp in project incubator-systemml by apache.

the class RewriteElementwiseMultChainOptimization method findEMultsAndLeaves.

/**
 * Create a set of the counts of all BinaryOp MULTs in the immediate subtree, starting with root, recursively.
 * @param root Root of sub-dag
 * @param emults Out parameter. The set of BinaryOp element-wise multiply hops in the emult chain (including root).
 * @param leaves Out parameter. The multiset of multiplicands in the emult chain.
 */
private static void findEMultsAndLeaves(final BinaryOp root, final Set<BinaryOp> emults, final Map<Hop, Integer> leaves) {
    // Because RewriteCommonSubexpressionElimination already ran, it is safe to compare by equality.
    emults.add(root);
    // TODO proper handling of DAGs (avoid collecting the same leaf multiple times)
    // TODO exclude hops with unknown dimensions and move rewrites to dynamic rewrites
    final ArrayList<Hop> inputs = root.getInput();
    final Hop left = inputs.get(0), right = inputs.get(1);
    if (isBinaryMult(left))
        findEMultsAndLeaves((BinaryOp) left, emults, leaves);
    else
        addMultiset(leaves, left);
    if (isBinaryMult(right))
        findEMultsAndLeaves((BinaryOp) right, emults, leaves);
    else
        addMultiset(leaves, right);
}

Example 33 with BinaryOp

use of org.apache.sysml.hops.BinaryOp in project incubator-systemml by apache.

the class RewriteForLoopVectorization method vectorizeElementwiseBinary.

private static StatementBlock vectorizeElementwiseBinary(StatementBlock sb, StatementBlock csb, Hop from, Hop to, Hop increment, String itervar) {
    StatementBlock ret = sb;
    // check supported increment values
    if (!(increment instanceof LiteralOp && ((LiteralOp) increment).getDoubleValue() == 1.0)) {
        return ret;
    }
    // check for applicability
    boolean apply = false;
    // row or col
    boolean rowIx = false;
    if (csb.getHops() != null && csb.getHops().size() == 1) {
        Hop root = csb.getHops().get(0);
        if (root.getDataType() == DataType.MATRIX && root.getInput().get(0) instanceof LeftIndexingOp) {
            LeftIndexingOp lix = (LeftIndexingOp) root.getInput().get(0);
            Hop lixlhs = lix.getInput().get(0);
            Hop lixrhs = lix.getInput().get(1);
            if (lixlhs instanceof DataOp && lixrhs instanceof BinaryOp && lixrhs.getInput().get(0) instanceof IndexingOp && lixrhs.getInput().get(1) instanceof IndexingOp && lixrhs.getInput().get(0).getInput().get(0) instanceof DataOp && lixrhs.getInput().get(1).getInput().get(0) instanceof DataOp) {
                IndexingOp rix0 = (IndexingOp) lixrhs.getInput().get(0);
                IndexingOp rix1 = (IndexingOp) lixrhs.getInput().get(1);
                // check for rowwise
                if (lix.isRowLowerEqualsUpper() && rix0.isRowLowerEqualsUpper() && rix1.isRowLowerEqualsUpper() && lix.getInput().get(2).getName().equals(itervar) && rix0.getInput().get(1).getName().equals(itervar) && rix1.getInput().get(1).getName().equals(itervar)) {
                    apply = true;
                    rowIx = true;
                }
                // check for colwise
                if (lix.isColLowerEqualsUpper() && rix0.isColLowerEqualsUpper() && rix1.isColLowerEqualsUpper() && lix.getInput().get(4).getName().equals(itervar) && rix0.getInput().get(3).getName().equals(itervar) && rix1.getInput().get(3).getName().equals(itervar)) {
                    apply = true;
                    rowIx = false;
                }
            }
        }
    }
    // apply rewrite if possible
    if (apply) {
        Hop root = csb.getHops().get(0);
        LeftIndexingOp lix = (LeftIndexingOp) root.getInput().get(0);
        BinaryOp bop = (BinaryOp) lix.getInput().get(1);
        IndexingOp rix0 = (IndexingOp) bop.getInput().get(0);
        IndexingOp rix1 = (IndexingOp) bop.getInput().get(1);
        int index1 = rowIx ? 2 : 4;
        int index2 = rowIx ? 3 : 5;
        // modify left indexing bounds
        HopRewriteUtils.replaceChildReference(lix, lix.getInput().get(index1), from, index1);
        HopRewriteUtils.replaceChildReference(lix, lix.getInput().get(index2), to, index2);
        // modify both right indexing
        HopRewriteUtils.replaceChildReference(rix0, rix0.getInput().get(index1 - 1), from, index1 - 1);
        HopRewriteUtils.replaceChildReference(rix0, rix0.getInput().get(index2 - 1), to, index2 - 1);
        HopRewriteUtils.replaceChildReference(rix1, rix1.getInput().get(index1 - 1), from, index1 - 1);
        HopRewriteUtils.replaceChildReference(rix1, rix1.getInput().get(index2 - 1), to, index2 - 1);
        updateLeftAndRightIndexingSizes(rowIx, lix, rix0, rix1);
        bop.refreshSizeInformation();
        // after bop update
        lix.refreshSizeInformation();
        ret = csb;
        // ret.liveIn().removeVariable(itervar);
        LOG.debug("Applied vectorizeElementwiseBinaryForLoop.");
    }
    return ret;
}

Example 34 with BinaryOp

use of org.apache.sysml.hops.BinaryOp in project incubator-systemml by apache.

the class PlanSelectionFuseCostBased method rGetComputeCosts.

private static void rGetComputeCosts(Hop current, HashSet<Long> partition, HashMap<Long, Double> computeCosts) {
    if (computeCosts.containsKey(current.getHopID()))
        return;
    // recursively process children
    for (Hop c : current.getInput()) rGetComputeCosts(c, partition, computeCosts);
    // get costs for given hop
    double costs = 1;
    if (current instanceof UnaryOp) {
        switch(((UnaryOp) current).getOp()) {
            case ABS:
            case ROUND:
            case CEIL:
            case FLOOR:
            case SIGN:
                costs = 1;
                break;
            case SPROP:
            case SQRT:
                costs = 2;
                break;
            case EXP:
                costs = 18;
                break;
            case SIGMOID:
                costs = 21;
                break;
            case LOG:
            case LOG_NZ:
                costs = 32;
                break;
            case NCOL:
            case NROW:
            case PRINT:
            case ASSERT:
            case CAST_AS_BOOLEAN:
            case CAST_AS_DOUBLE:
            case CAST_AS_INT:
            case CAST_AS_MATRIX:
            case CAST_AS_SCALAR:
                costs = 1;
                break;
            case SIN:
                costs = 18;
                break;
            case COS:
                costs = 22;
                break;
            case TAN:
                costs = 42;
                break;
            case ASIN:
                costs = 93;
                break;
            case ACOS:
                costs = 103;
                break;
            case ATAN:
                costs = 40;
                break;
            // TODO:
            case SINH:
                costs = 93;
                break;
            case COSH:
                costs = 103;
                break;
            case TANH:
                costs = 40;
                break;
            case CUMSUM:
            case CUMMIN:
            case CUMMAX:
            case CUMPROD:
                costs = 1;
                break;
            default:
                LOG.warn("Cost model not " + "implemented yet for: " + ((UnaryOp) current).getOp());
        }
    } else if (current instanceof BinaryOp) {
        switch(((BinaryOp) current).getOp()) {
            case MULT:
            case PLUS:
            case MINUS:
            case MIN:
            case MAX:
            case AND:
            case OR:
            case EQUAL:
            case NOTEQUAL:
            case LESS:
            case LESSEQUAL:
            case GREATER:
            case GREATEREQUAL:
            case CBIND:
            case RBIND:
                costs = 1;
                break;
            case INTDIV:
                costs = 6;
                break;
            case MODULUS:
                costs = 8;
                break;
            case DIV:
                costs = 22;
                break;
            case LOG:
            case LOG_NZ:
                costs = 32;
                break;
            case POW:
                costs = (HopRewriteUtils.isLiteralOfValue(current.getInput().get(1), 2) ? 1 : 16);
                break;
            case MINUS_NZ:
            case MINUS1_MULT:
                costs = 2;
                break;
            case CENTRALMOMENT:
                int type = (int) (current.getInput().get(1) instanceof LiteralOp ? HopRewriteUtils.getIntValueSafe((LiteralOp) current.getInput().get(1)) : 2);
                switch(type) {
                    // count
                    case 0:
                        costs = 1;
                        break;
                    // mean
                    case 1:
                        costs = 8;
                        break;
                    // cm2
                    case 2:
                        costs = 16;
                        break;
                    // cm3
                    case 3:
                        costs = 31;
                        break;
                    // cm4
                    case 4:
                        costs = 51;
                        break;
                    // variance
                    case 5:
                        costs = 16;
                        break;
                }
                break;
            case COVARIANCE:
                costs = 23;
                break;
            default:
                LOG.warn("Cost model not " + "implemented yet for: " + ((BinaryOp) current).getOp());
        }
    } else if (current instanceof TernaryOp) {
        switch(((TernaryOp) current).getOp()) {
            case PLUS_MULT:
            case MINUS_MULT:
                costs = 2;
                break;
            case CTABLE:
                costs = 3;
                break;
            case CENTRALMOMENT:
                int type = (int) (current.getInput().get(1) instanceof LiteralOp ? HopRewriteUtils.getIntValueSafe((LiteralOp) current.getInput().get(1)) : 2);
                switch(type) {
                    // count
                    case 0:
                        costs = 2;
                        break;
                    // mean
                    case 1:
                        costs = 9;
                        break;
                    // cm2
                    case 2:
                        costs = 17;
                        break;
                    // cm3
                    case 3:
                        costs = 32;
                        break;
                    // cm4
                    case 4:
                        costs = 52;
                        break;
                    // variance
                    case 5:
                        costs = 17;
                        break;
                }
                break;
            case COVARIANCE:
                costs = 23;
                break;
            default:
                LOG.warn("Cost model not " + "implemented yet for: " + ((TernaryOp) current).getOp());
        }
    } else if (current instanceof ParameterizedBuiltinOp) {
        costs = 1;
    } else if (current instanceof IndexingOp) {
        costs = 1;
    } else if (current instanceof ReorgOp) {
        costs = 1;
    } else if (current instanceof AggBinaryOp) {
        // matrix vector
        costs = 2;
    } else if (current instanceof AggUnaryOp) {
        switch(((AggUnaryOp) current).getOp()) {
            case SUM:
                costs = 4;
                break;
            case SUM_SQ:
                costs = 5;
                break;
            case MIN:
            case MAX:
                costs = 1;
                break;
            default:
                LOG.warn("Cost model not " + "implemented yet for: " + ((AggUnaryOp) current).getOp());
        }
    }
    computeCosts.put(current.getHopID(), costs);
}

Example 35 with BinaryOp

use of org.apache.sysml.hops.BinaryOp in project incubator-systemml by apache.

the class TemplateRow method rConstructCplan.

private void rConstructCplan(Hop hop, CPlanMemoTable memo, HashMap<Long, CNode> tmp, HashSet<Hop> inHops, HashMap<String, Hop> inHops2, boolean compileLiterals) {
    // memoization for common subexpression elimination and to avoid redundant work
    if (tmp.containsKey(hop.getHopID()))
        return;
    // recursively process required childs
    MemoTableEntry me = memo.getBest(hop.getHopID(), TemplateType.ROW, TemplateType.CELL);
    for (int i = 0; i < hop.getInput().size(); i++) {
        Hop c = hop.getInput().get(i);
        if (me != null && me.isPlanRef(i))
            rConstructCplan(c, memo, tmp, inHops, inHops2, compileLiterals);
        else {
            CNodeData cdata = TemplateUtils.createCNodeData(c, compileLiterals);
            tmp.put(c.getHopID(), cdata);
            inHops.add(c);
        }
    }
    // construct cnode for current hop
    CNode out = null;
    if (hop instanceof AggUnaryOp) {
        CNode cdata1 = tmp.get(hop.getInput().get(0).getHopID());
        if (((AggUnaryOp) hop).getDirection() == Direction.Row && HopRewriteUtils.isAggUnaryOp(hop, SUPPORTED_ROW_AGG)) {
            if (hop.getInput().get(0).getDim2() == 1)
                out = (cdata1.getDataType() == DataType.SCALAR) ? cdata1 : new CNodeUnary(cdata1, UnaryType.LOOKUP_R);
            else {
                String opcode = "ROW_" + ((AggUnaryOp) hop).getOp().name().toUpperCase() + "S";
                out = new CNodeUnary(cdata1, UnaryType.valueOf(opcode));
                if (cdata1 instanceof CNodeData && !inHops2.containsKey("X"))
                    inHops2.put("X", hop.getInput().get(0));
            }
        } else if (((AggUnaryOp) hop).getDirection() == Direction.Col && ((AggUnaryOp) hop).getOp() == AggOp.SUM) {
            // vector add without temporary copy
            if (cdata1 instanceof CNodeBinary && ((CNodeBinary) cdata1).getType().isVectorScalarPrimitive())
                out = new CNodeBinary(cdata1.getInput().get(0), cdata1.getInput().get(1), ((CNodeBinary) cdata1).getType().getVectorAddPrimitive());
            else
                out = cdata1;
        } else if (((AggUnaryOp) hop).getDirection() == Direction.RowCol && ((AggUnaryOp) hop).getOp() == AggOp.SUM) {
            out = (cdata1.getDataType().isMatrix()) ? new CNodeUnary(cdata1, UnaryType.ROW_SUMS) : cdata1;
        }
    } else if (hop instanceof AggBinaryOp) {
        CNode cdata1 = tmp.get(hop.getInput().get(0).getHopID());
        CNode cdata2 = tmp.get(hop.getInput().get(1).getHopID());
        if (HopRewriteUtils.isTransposeOperation(hop.getInput().get(0))) {
            // correct input under transpose
            cdata1 = TemplateUtils.skipTranspose(cdata1, hop.getInput().get(0), tmp, compileLiterals);
            inHops.remove(hop.getInput().get(0));
            if (cdata1 instanceof CNodeData)
                inHops.add(hop.getInput().get(0).getInput().get(0));
            // note: vectorMultAdd applicable to vector-scalar, and vector-vector
            if (hop.getInput().get(1).getDim2() == 1)
                out = new CNodeBinary(cdata1, cdata2, BinType.VECT_MULT_ADD);
            else {
                out = new CNodeBinary(cdata1, cdata2, BinType.VECT_OUTERMULT_ADD);
                if (!inHops2.containsKey("B1")) {
                    // incl modification of X for consistency
                    if (cdata1 instanceof CNodeData)
                        inHops2.put("X", hop.getInput().get(0).getInput().get(0));
                    inHops2.put("B1", hop.getInput().get(1));
                }
            }
            if (!inHops2.containsKey("X"))
                inHops2.put("X", hop.getInput().get(0).getInput().get(0));
        } else {
            if (hop.getInput().get(0).getDim2() == 1 && hop.getInput().get(1).getDim2() == 1)
                out = new CNodeBinary((cdata1.getDataType() == DataType.SCALAR) ? cdata1 : new CNodeUnary(cdata1, UnaryType.LOOKUP0), (cdata2.getDataType() == DataType.SCALAR) ? cdata2 : new CNodeUnary(cdata2, UnaryType.LOOKUP0), BinType.MULT);
            else if (hop.getInput().get(1).getDim2() == 1) {
                out = new CNodeBinary(cdata1, cdata2, BinType.DOT_PRODUCT);
                inHops2.put("X", hop.getInput().get(0));
            } else {
                out = new CNodeBinary(cdata1, cdata2, BinType.VECT_MATRIXMULT);
                inHops2.put("X", hop.getInput().get(0));
                inHops2.put("B1", hop.getInput().get(1));
            }
        }
    } else if (HopRewriteUtils.isTransposeOperation(hop)) {
        out = TemplateUtils.skipTranspose(tmp.get(hop.getHopID()), hop, tmp, compileLiterals);
        if (out instanceof CNodeData && !inHops.contains(hop.getInput().get(0)))
            inHops.add(hop.getInput().get(0));
    } else if (hop instanceof UnaryOp) {
        CNode cdata1 = tmp.get(hop.getInput().get(0).getHopID());
        // if one input is a matrix then we need to do vector by scalar operations
        if (hop.getInput().get(0).getDim1() >= 1 && hop.getInput().get(0).getDim2() > 1 || (!hop.dimsKnown() && cdata1.getDataType() == DataType.MATRIX)) {
            if (HopRewriteUtils.isUnary(hop, SUPPORTED_VECT_UNARY)) {
                String opname = "VECT_" + ((UnaryOp) hop).getOp().name();
                out = new CNodeUnary(cdata1, UnaryType.valueOf(opname));
                if (cdata1 instanceof CNodeData && !inHops2.containsKey("X"))
                    inHops2.put("X", hop.getInput().get(0));
            } else
                throw new RuntimeException("Unsupported unary matrix " + "operation: " + ((UnaryOp) hop).getOp().name());
        } else // general scalar case
        {
            cdata1 = TemplateUtils.wrapLookupIfNecessary(cdata1, hop.getInput().get(0));
            String primitiveOpName = ((UnaryOp) hop).getOp().toString();
            out = new CNodeUnary(cdata1, UnaryType.valueOf(primitiveOpName));
        }
    } else if (HopRewriteUtils.isBinary(hop, OpOp2.CBIND)) {
        // special case for cbind with zeros
        CNode cdata1 = tmp.get(hop.getInput().get(0).getHopID());
        CNode cdata2 = null;
        if (HopRewriteUtils.isDataGenOpWithConstantValue(hop.getInput().get(1))) {
            cdata2 = TemplateUtils.createCNodeData(HopRewriteUtils.getDataGenOpConstantValue(hop.getInput().get(1)), true);
            // rm 0-matrix
            inHops.remove(hop.getInput().get(1));
        } else {
            cdata2 = tmp.get(hop.getInput().get(1).getHopID());
            cdata2 = TemplateUtils.wrapLookupIfNecessary(cdata2, hop.getInput().get(1));
        }
        out = new CNodeBinary(cdata1, cdata2, BinType.VECT_CBIND);
        if (cdata1 instanceof CNodeData && !inHops2.containsKey("X"))
            inHops2.put("X", hop.getInput().get(0));
    } else if (hop instanceof BinaryOp) {
        CNode cdata1 = tmp.get(hop.getInput().get(0).getHopID());
        CNode cdata2 = tmp.get(hop.getInput().get(1).getHopID());
        // if one input is a matrix then we need to do vector by scalar operations
        if ((hop.getInput().get(0).getDim1() >= 1 && hop.getInput().get(0).getDim2() > 1) || (hop.getInput().get(1).getDim1() >= 1 && hop.getInput().get(1).getDim2() > 1) || (!(hop.dimsKnown() && hop.getInput().get(0).dimsKnown() && hop.getInput().get(1).dimsKnown()) && // not a known vector output
        (hop.getDim2() != 1) && (cdata1.getDataType().isMatrix() || cdata2.getDataType().isMatrix()))) {
            if (HopRewriteUtils.isBinary(hop, SUPPORTED_VECT_BINARY)) {
                if (TemplateUtils.isMatrix(cdata1) && (TemplateUtils.isMatrix(cdata2) || TemplateUtils.isRowVector(cdata2))) {
                    String opname = "VECT_" + ((BinaryOp) hop).getOp().name();
                    out = new CNodeBinary(cdata1, cdata2, BinType.valueOf(opname));
                } else {
                    String opname = "VECT_" + ((BinaryOp) hop).getOp().name() + "_SCALAR";
                    if (TemplateUtils.isColVector(cdata1))
                        cdata1 = new CNodeUnary(cdata1, UnaryType.LOOKUP_R);
                    if (TemplateUtils.isColVector(cdata2))
                        cdata2 = new CNodeUnary(cdata2, UnaryType.LOOKUP_R);
                    out = new CNodeBinary(cdata1, cdata2, BinType.valueOf(opname));
                }
                if (cdata1 instanceof CNodeData && !inHops2.containsKey("X") && !(cdata1.getDataType() == DataType.SCALAR)) {
                    inHops2.put("X", hop.getInput().get(0));
                }
            } else
                throw new RuntimeException("Unsupported binary matrix " + "operation: " + ((BinaryOp) hop).getOp().name());
        } else // one input is a vector/scalar other is a scalar
        {
            String primitiveOpName = ((BinaryOp) hop).getOp().toString();
            if (TemplateUtils.isColVector(cdata1))
                cdata1 = new CNodeUnary(cdata1, UnaryType.LOOKUP_R);
            if (// vector or vector can be inferred from lhs
            TemplateUtils.isColVector(cdata2) || (TemplateUtils.isColVector(hop.getInput().get(0)) && cdata2 instanceof CNodeData && hop.getInput().get(1).getDataType().isMatrix()))
                cdata2 = new CNodeUnary(cdata2, UnaryType.LOOKUP_R);
            out = new CNodeBinary(cdata1, cdata2, BinType.valueOf(primitiveOpName));
        }
    } else if (hop instanceof TernaryOp) {
        TernaryOp top = (TernaryOp) hop;
        CNode cdata1 = tmp.get(hop.getInput().get(0).getHopID());
        CNode cdata2 = tmp.get(hop.getInput().get(1).getHopID());
        CNode cdata3 = tmp.get(hop.getInput().get(2).getHopID());
        // add lookups if required
        cdata1 = TemplateUtils.wrapLookupIfNecessary(cdata1, hop.getInput().get(0));
        cdata3 = TemplateUtils.wrapLookupIfNecessary(cdata3, hop.getInput().get(2));
        // construct ternary cnode, primitive operation derived from OpOp3
        out = new CNodeTernary(cdata1, cdata2, cdata3, TernaryType.valueOf(top.getOp().toString()));
    } else if (HopRewriteUtils.isNary(hop, OpOpN.CBIND)) {
        CNode[] inputs = new CNode[hop.getInput().size()];
        for (int i = 0; i < hop.getInput().size(); i++) {
            Hop c = hop.getInput().get(i);
            CNode cdata = tmp.get(c.getHopID());
            if (TemplateUtils.isColVector(cdata) || TemplateUtils.isRowVector(cdata))
                cdata = TemplateUtils.wrapLookupIfNecessary(cdata, c);
            inputs[i] = cdata;
            if (i == 0 && cdata instanceof CNodeData && !inHops2.containsKey("X"))
                inHops2.put("X", c);
        }
        out = new CNodeNary(inputs, NaryType.VECT_CBIND);
    } else if (hop instanceof ParameterizedBuiltinOp) {
        CNode cdata1 = tmp.get(((ParameterizedBuiltinOp) hop).getTargetHop().getHopID());
        cdata1 = TemplateUtils.wrapLookupIfNecessary(cdata1, hop.getInput().get(0));
        CNode cdata2 = tmp.get(((ParameterizedBuiltinOp) hop).getParameterHop("pattern").getHopID());
        CNode cdata3 = tmp.get(((ParameterizedBuiltinOp) hop).getParameterHop("replacement").getHopID());
        TernaryType ttype = (cdata2.isLiteral() && cdata2.getVarname().equals("Double.NaN")) ? TernaryType.REPLACE_NAN : TernaryType.REPLACE;
        out = new CNodeTernary(cdata1, cdata2, cdata3, ttype);
    } else if (hop instanceof IndexingOp) {
        CNode cdata1 = tmp.get(hop.getInput().get(0).getHopID());
        out = new CNodeTernary(cdata1, TemplateUtils.createCNodeData(new LiteralOp(hop.getInput().get(0).getDim2()), true), TemplateUtils.createCNodeData(hop.getInput().get(4), true), (hop.getDim2() != 1) ? TernaryType.LOOKUP_RVECT1 : TernaryType.LOOKUP_RC1);
    }
    if (out == null) {
        throw new RuntimeException(hop.getHopID() + " " + hop.getOpString());
    }
    if (out.getDataType().isMatrix()) {
        out.setNumRows(hop.getDim1());
        out.setNumCols(hop.getDim2());
    }
    tmp.put(hop.getHopID(), out);
}